Model Description
The model you’re using is based on Qwen/Qwen2.5-0.5B-Instruct, a powerful AI designed to follow instructions across a wide range of tasks. Through specialized fine-tuning, this model has been trained to become highly proficient in solving complex mathematical problems. By using a dataset specifically focused on math (Augmentation-Scaling-Laws/math-seed-data), it has gained the ability to handle advanced calculations and mathematical reasoning, making it an ideal assistant for anyone needing help with math-related tasks or challenges.
- Developed by: Youri Lalain (@Youlln)
- Organization: ECE engineering school
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 7.44 |
| IFEval (0-Shot) | 25.26 |
| BBH (3-Shot) | 7.63 |
| MATH Lvl 5 (4-Shot) | 1.21 |
| GPQA (0-shot) | 2.24 |
| MuSR (0-shot) | 0.89 |
| MMLU-PRO (5-shot) | 7.40 |
- Downloads last month
- 74
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Youlln/ECE-Qwen0.5B-FT-V2
Base model
Qwen/Qwen2.5-0.5B
Finetuned
Qwen/Qwen2.5-0.5B-Instruct
Dataset used to train Youlln/ECE-Qwen0.5B-FT-V2
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard25.260
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard7.630
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard1.210
- acc_norm on GPQA (0-shot)Open LLM Leaderboard2.240
- acc_norm on MuSR (0-shot)Open LLM Leaderboard0.890
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard7.400